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铁路通信信号工程技术 ›› 2021, Vol. 18 ›› Issue (9): 31-37.DOI: 10.3969/j.issn.1673-4440.2021.09.007

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基于综合视频监控系统拓展图像智能识别功能的方案研究

娄 昆   

  1. 中国铁路设计集团有限公司,天津 300308
  • 收稿日期:2021-03-30 修回日期:2021-04-20 出版日期:2021-09-24 发布日期:2021-10-12
  • 基金资助:
    中国铁路设计集团有限公司科技开发课题项目(2020YY340820)

Schemes of Expand Intelligent Image Recognition Function Based on Integrated Video Surveillance System

Lou Kun   

  1. China Railway Design Corporation, Tianjin    300308, China
  • Received:2021-03-30 Revised:2021-04-20 Online:2021-09-24 Published:2021-10-12

摘要: 图像识别技术在各领域的应用都得到迅猛发展,包括但不限于人脸识别应用、人员密集区域的预测与分析、限定区域的周界报警等。基于图像特征值卷积的深度学习模型日趋完善,铁路行业内对该系统的建设需求与日俱增,如何充分利用既有视频系统拓展图像识别功能,以最大程度优化工程投资及改造范围成为实施的重难点。通过对既有视频监控系统及图像识别架构的分析,提出基于既有系统拓展图像识别功能的解决方案,并对不同方案进行比对,总结便于后期拓展在前期建设中需要考虑的因素,为后续工程的实施提供参考。

关键词: 图像识别, 视频监控, 系统架构扩展

Abstract: With the development of image recognition technology, its applications in various fields have been developed rapidly, including but not limited to face recognition applications, prediction and analysis of densely populated areas, perimeter alarm of limited areas, etc. The deep learning model based on image eigenvalue convolution is gradually improved, and the demand for the establishment of the system in the railway industry is increasing day by day. How to make full use of the existing video system to expand the image recognition function so as to optimize the project investment and transformation scope to the greatest extent has become a key and difficult point in the implementation. Through the analysis of the existing video monitoring system and image recognition architecture, this paper puts forward the solutions to expand the image recognition function based on the existing system, compares different schemes, and summarizes the factors that need to be considered in early construction for later expansion, so as to provide reference for the implementation of follow-up projects.

Key words: image recognition, video surveillance, system architecture extension

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